This data set represents a simulation of an in-school friendship network. The network is named faux.magnolia.high because the school commnunities on which it is based are large and located in the southern US.
faux.magnolia.high is a
with 1461 vertices (students, in this case) and 974 undirected edges (mutual
friendships). To obtain additional summary information about it, type
The vertex attributes are
Grade attribute has values 7 through 12, indicating each student's
grade in school. The
Race attribute is based on the answers to two
questions, one on Hispanic identity and one on race, and takes six possible
values: White (non-Hisp.), Black (non-Hisp.), Hispanic, Asian (non-Hisp.),
Native American, and Other (non-Hisp.)
If the source of the data set does not specified otherwise, this data set is protected by the Creative Commons License https://creativecommons.org/licenses/by-nc-nd/2.5/.
When publishing results obtained using this data set, the original authors (Resnick et al, 1997) should be cited. In addition this package should be cited as:
Mark S. Handcock, David R. Hunter, Carter T. Butts, Steven M. Goodreau, and
Martina Morris. 2003 statnet: Software tools for the Statistical
Modeling of Network Data
The data set is based upon a model fit to data from two school communities from the AddHealth Study, Wave I (Resnick et al., 1997). It was constructed as follows:
The two schools in question (a junior and senior high school in the same community) were combined into a single network dataset. Students who did not take the AddHealth survey or who were not listed on the schools' student rosters were eliminated, then an undirected link was established between any two individuals who both named each other as a friend. All missing race, grade, and sex values were replaced by a random draw with weights determined by the size of the attribute classes in the school.
ergm model was fit to the original data:
magnolia.fit <- ergm (magnolia ~ edges + nodematch("Grade",diff=T) + nodematch("Race",diff=T) + nodematch("Sex",diff=F) + absdiff("Grade") + gwesp(0.25,fixed=T), control=control.ergm(MCMC.burnin=10000, MCMC.interval=1000, MCMLE.maxit=25, MCMC.samplesize=2500, MCMLE.steplength=0.25))
Then the faux.magnolia.high dataset was created by simulating a single network from the above model fit:
faux.magnolia.high <- simulate (magnolia.fit, nsim=1, control = snctrl(MCMC.burnin=100000000), constraints = ~edges)
Resnick M.D., Bearman, P.S., Blum R.W. et al. (1997). Protecting adolescents from harm. Findings from the National Longitudinal Study on Adolescent Health, Journal of the American Medical Association, 278: 823-32.
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